Man pages for SelectBoost
A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

AICc_BIC_glmnetBAICc and BIC for glmnet logistic models
auto.analyzeFind limits for selectboost analysis
autoboostAutoboost
autoboost.res.xAutoboost lasso diabetes first order.
autoboost.res.x2Autoboost lasso diabetes second order.
autoboost.res.x2.adaptAutoboost adaptative lasso diabetes second order.
autoboost.res.x.adaptAutoboost adaptative lasso diabetes first order.
boostBoost step by step functions
Cascade_confidenceConfidence indices
Cascade_exampleSimulated Cascade network and inference
fastboostFastboost
fastboost.res.xFastboost lasso diabetes first order.
fastboost.res.x2Fastboost lasso diabetes second order.
fastboost.res.x2.adaptFastboost adaptative lasso diabetes second order.
fastboost.res.x.adaptFastboost adaptative lasso diabetes first order.
force.non.incNon increasing post processinng step for selectboost analysis
group_func_1Generate groups by thresholding.
group_func_2Generate groups using community analysis.
miscplotMiscellaneous plot functions
network.confidence-classNetwork confidence class.
plot.selectboostPlot selectboost object
plot_selectboost_cascadeplot_Selectboost_cascade
plot.summary.selectboostPlot a summary of selectboost results
reverseSimulations for reverse-engineering
SelectBoostSelectBoost
selectboost_cascadeSelectboost_cascade
simulationMiscellaneous simulation functions
summary.selectboostSummarize a selectboost analysis
trajC0Plot trajectories
var_selectVariable selection functions
var_select_allVariable selection functions (all)
SelectBoost documentation built on Feb. 23, 2020, 5:07 p.m.